33 operations-"https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD positions in Austria
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, statistical inference and machine learning, with potential applications to practical problems Independent teaching Supporting research work, participation in research projects, and assistance with teaching and
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communication skills in student support Ability to work as part of a team Please include a written proposal outlining your doctoral research project with your application (max. 5 pages) Application: We
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, synapse density, and neuronal network formation. The PhD thesis work will be supervised by Prof. Obermair and will be conducted within the PhD program Mental Health and Neuroscience (https://www.kl.ac.at/en
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knowledge of banking and finance, particularly risk management and/or empirical capital market research, strong quantitative skills and, where applicable, programming skills Ability to work as part of a team
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. Where to apply Website https://phd-recruiting.medunigraz.at/ Requirements Research FieldBiological sciences » BiologyEducation LevelMaster Degree or equivalent Research FieldChemistry
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to the team! Work Location(s) Number of offers available1Company/InstituteUniversität WienCountryAustriaCityWienPostal Code1010 Contact City Wien Website http://www.univie.ac.at Street Universitätsring 1 Postal
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, and Environment (ECE) program at IIASA is searching for a Researcher (R1)/ Research Scholar (R2) to work the Pathways workstream within the Exploring Real Zero project. The workstream develops a new
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for professional and personal development Safe and stable working environment Company pension funds Website for additional job details https://jobs.tugraz.at/en/jobs/9b545b49-c7af-4ac6-9fcb-58f5637edfe8 Work
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English proficiency and strong communication skills, enabling effective work in an international academic environment A structured and independent working style, combined with strong teamwork skill
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hands-on experience including molecular cloning CRISPR editing, cell culture, single cell sequencing A rigorous, detail-oriented approach to experimental design and data analysis Strong motivation to work